Ontology for the Intelligence Analyst
Abstract
As available intelligence data and information expand in both quantity and variety, new techniques must be deployed for search and analytics. One technique involves the semantic enhancement of data through the creation of what are called ontologies or controlled vocabularies. When multiple different bodies of heterogeneous data are tagged by means of terms from common ontologies, then these data become linked together in ways that allow more effective retrieval and integration. We describe a simple case study to show how these benefits are being achieved, and we describe our strategy for developing a suite of ontologies to serve the needs of the war-fighter in the ever more complex battlespace environments of the future.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2012
- Accession Number
- ADA591720
Entities
People
- Barry Smith
- David Salmen
- Jamie Johnson
- Kesny Parent
- Shouvik Bardhan
- Tatiana Malyuta
- William Mandrick
Organizations
- University at Buffalo